Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting - Brossura

Izhikevich, Eugene M. M

Brossura

ISBN 10: 0262514206 ISBN 13: 9780262514200

Casa editrice: MIT Press, 2010

Riassunto

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition.

Su questo libro

Recensione:

"A unique contribution to the theoretical neuroscience literature that can serve as a useful reference for audiences ranging from quantitatively skilled undergraduates interested in mathematical modeling, to neuroscientists at all levels, to graduate students and even researchers in the field of theoretical neuroscience." -- Jonathan E. Rubin, Mathematical Review "This book will be a great contribution to the subject of mathematical neurophysiology." --Richard Fitzhugh, former researcher, Laboratory of Biophysics, National Institutes of Health "Eugene Izhikevich has written an excellent introduction to the application of nonlinear dynamics to the spiking patterns of neurons. There are dozens of clear illustrations and hundreds of exercises ranging from the very easy to Ph.D.-level questions. The book will be suitable for mathematicians and physicists who want to jump into this exciting field as well as for neuroscientists who desire a deeper understanding of the utility of nonlinear dynamics applied to biology." --Bard Ermentrout, Department of Mathematics, University of Pittsburgh "A stimulating, entertaining, and scenic tour of neuronal modeling from a nonlinear dynamics viewpoint." --John Rinzel, Center for Neural Science and Courant Institute, New York University

L'autore:

Eugene M. Izhikevich is Chairman and CEO of Brain Corporation in San Diego and was formerly Senior Fellow in Theoretical Neurobiology at the Neurosciences Institute, San Diego. He is editor-in-chief of Scholarpedia, the free peer-reviewed encyclopedia.

Su questa edizione

• Editore: MIT Press
• Data di pubblicazione: 2010
• ISBN 10: 0262514206
• ISBN 13: 9780262514200
• Rilegatura: Copertina flessibile
• Numero di pagine: 458